Research Communication | Open Access
Volume 2019 | Communication ID 71
Volume 2019 | Communication ID 71
| Mathematical Modeling of the Monthly Mean Temperature of Morocco using Exponential Autoregressive Processes |
Nabil Azouagh, Said El Melhaoui
Received |
Accepted |
Published |
Jan 20, 2019 |
Feb 26, 2019 |
Mar 01, 2019 |
Abstract: The monthly mean temperature time series is important to evaluate how the climate changes over time. That’s why we consider the problem of mathematical modeling of the monthly mean temperature of Morocco using Exponential Autoregressive (EXPAR) processes. The EXPAR model was introduced by Haggan and Ozaki [1] to reproduce non-linear random vibrations, Tong [2] have shown that it can exhibit nonlinear features as amplitude-dependent frequency, jump phenomena and limit cycles, for further theory details see [3-4-5]. In this work we provide a full approach for modeling and analysis with ...